Face retrieval in broadcasting news video by fusing temporal and intensity information

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4071 LNCS, Issue , 2006, Pages 391-400

  Le, Duy Dinh ^a   Satoh, Shin'ichi ^a,b   Houle, Michael E ^b  

^a GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FACE RECOGNITION; INDEXING (OF INFORMATION); INFORMATION USE; TELEVISION BROADCASTING;

DATASET; FACIAL INTENSITY INFORMATION; SEARCH INDEX; TEMPORAL INFORMATION;

IMAGE RETRIEVAL;

EID: 33746645699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11788034_40     Document Type: Conference Paper

References (19)

1. Zhao, W., Chellappa, R., Phillips, P.J., Rosenfeld, A.: Face recognition: A literature survey. ACM Computing Surveys 35(4) (2003) 399-458
2. Yang, J., Chen, M., Hauptmann, A.: Finding person x: Correlating names with visual appearances. In: Proc. Int. Conf. on Image and Video Retrieval (CIVR). (2004) 270-278
3. Weber, R., Schek, H.J., Blott, S.: A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces. In: Proc. Intl. Conf. on Very Large Data Bases (VLDB). (1998) 194-205
4. Fitzgibbon, A., Zisserman, A.: On affine invariant clustering and automatic cast listing in movies. In: Proc. Intl. European Conference on Computer Vision (ECCV). Volume 3. (2002) 304-320
5. Fitzgibbon, A., Zisserman, A.: Joint manifold distance: a new approach to appearance based clustering. In: Proc. Intl. Conf. on Computer Vision and Pattern Recognition (CVPR). Volume 1. (2003) 26-36
6. Arandjelovic, O., Zisserman, A.: Automatic face recognition for film character retrieval in feature-length films. In: Proc. Intl. Conf. on Computer Vision and Pattern Recognition (CVPR). Volume 1. (2005) 860-867
7. Satoh, S., Kanade, T.: Name-it: Association of face and name in video. In: Proc. Intl. Conf. on Computer Vision and Pattern Recognition (CVPR). (1997) 368-373
8. Yang, J., Hauptmann, A.: Naming every individual in news video monologues. In: Proc. ACM International Conference on Multimedia (MM). (2004) 580-587
9. Yang, J., Yan, R., Hauptmann, A.: Multiple instance learning for labeling faces in broadcasting news video. In: Proc. ACM International Conference on Multimedia (MM). (2005) 31-40
10. Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: an Introduction to Cluster Analysis. John Wiley & Sons (1990)
11. Houle, M.E.: A generic query-based model for scalable clustering. Technical Report NII-2006-008E, National Institute of Informatics (2006)
12. Houle, M.E., Sakuma, J.: Fast approximate similarity search in extremely high-dimensional data sets. In: Proc. Int. Conf. on Data Engineering (ICDE). (2005) 619-630
13. http://www-nlpir.nist.gov/projects/trecvid/.
14. Le, D.D., Satoh, S.: Multi-stage approach to fast face detection. In: Proc. British Machine Vison Conf.(BMVC). Volume 2. (2005) 769-778
15. Le, D.D., Satoh, S.: Fusion of local and global features for efficient object detection. In: Proc. SPIE, Applications of Neural Networks and Machine Learning in Image Processing IX. Volume 5673. (2005) 106-116
16. Rowley, H., Baluja, S., Kanade, T.: Neural network-based face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 20(1) (1998) 23-38
17. Turk, M., Pentland, A.: Face recognition using eigenfaces. In: Proc. Intl. Conf. on Computer Vision and Pattern Recognition (CVPR). (1991)
18. Phillips, P., Moon, H., Rizvi, S., Rauss, P.: The feret evaluation methodology for face recognition algorithms. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(10) (2002) 1094-1104
19. Houle, M.E.: Navigating massive data sets via local clustering. In: Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD). (2003) 547-552